Online adaptive radiotherapy and dose delivery accuracy: A retrospective analysis.


Journal

Journal of applied clinical medical physics
ISSN: 1526-9914
Titre abrégé: J Appl Clin Med Phys
Pays: United States
ID NLM: 101089176

Informations de publication

Date de publication:
Aug 2023
Historique:
revised: 16 01 2023
received: 08 08 2022
accepted: 04 04 2023
medline: 7 8 2023
pubmed: 25 4 2023
entrez: 25 4 2023
Statut: ppublish

Résumé

With online adaptive radiotherapy (ART), patient-specific quality assurance (PSQA) testing cannot be performed prior to delivery of the adapted treatment plan. Consequently, the dose delivery accuracy of adapted plans (i.e., the ability of the system to interpret and deliver the treatment as planned) are not initially verified. We investigated the variation in dose delivery accuracy of ART on the MRIdian 0.35 T MR-linac (Viewray Inc., Oakwood, USA) between initial plans and their respective adapted plans, by analyzing PSQA results. We considered the two main digestive localizations treated with ART (liver and pancreas). A total of 124 PSQA results acquired with the ArcCHECK (Sun Nuclear Corporation, Melbourne, USA) multidetector system were analyzed. PSQA result variations between the initial plans and their respective adapted plans were statistically investigated and compared with the variation in MU number. For the liver, limited deterioration in PSQA results was observed, and was within the limits of clinical tolerance (Initial = 98.2%, Adapted = 98.2%, p = 0.4503). For pancreas plans, only a few significant deteriorations extending beyond the limits of clinical tolerance were observed and were due to specific, complex anatomical configurations (Initial = 97.3%, Adapted = 96.5%, p = 0.0721). In parallel, we observed an influence of the increase in MU number on the PSQA results. We show that the dose delivery accuracy of adapted plans, in terms of PSQA results, is preserved in ART processes on the 0.35 T MR-linac. Respecting good practices, and minimizing the increase in MU number can help to preserve the accuracy of delivery of adapted plans as compared to their respective initial plans.

Identifiants

pubmed: 37097765
doi: 10.1002/acm2.14005
pmc: PMC10402677
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e14005

Informations de copyright

© 2023 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine.

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Auteurs

Igor Bessieres (I)

Department of Medical Physics, Centre Georges François Leclerc, Dijon, France.

Olivier Lorenzo (O)

Department of Medical Physics, Centre Georges François Leclerc, Dijon, France.

Aurélie Bertaut (A)

Methodology, Data-Management and Biostatistics Unit, Centre Georges-François Leclerc, Dijon, France.

Aurélie Petitfils (A)

Department of Medical Physics, Centre Georges François Leclerc, Dijon, France.

Léone Aubignac (L)

Department of Medical Physics, Centre Georges François Leclerc, Dijon, France.

Julien Boudet (J)

Department of Medical Physics, Centre Georges François Leclerc, Dijon, France.

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Classifications MeSH